class_docstr: Quantizer for handling weights in Conv2D/DepthwiseConv2D layers.
docstr: Construct LastValueQuantizer with params specific for TFLite Convs.
docstr_tok: ["Construct","LastValueQuantizer","with","params","specific","for","TFLite","Convs","."]
code: def __init__(self):
      """Construct LastValueQuantizer with params specific for TFLite Convs."""
  
      super(Default8BitConvWeightsQuantizer, self).__init__(
          num_bits=8, per_axis=True, symmetric=True, narrow_range=True
      )
  
file_path: model-optimization/tensorflow_model_optimization/python/core/quantization/keras/default_8bit/default_8bit_quantizers.py
imports: import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
label_desc: Use image node_id 1 to create a new Default8BitConvWeightsQuantizer object from inherited base classes: quantizers with example: obj = Default8BitConvWeightsQuantizer()